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Discrete geometric representations such as meshes are a crucial part of engineering simulation pipelines. The success and fidelity of numerical methods heavily depend on the accurate representation
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have a PhD in computer science, mathematics, physics, or related fields, with a passion for programming. A desire to contribute to the development of open-source software within the context of the agreed
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Permanent contract | Belval-Luxembourg Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology
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We are seeking a highly motivated postdoctoral researcher with the following qualifications: • PhD in Mathematics, Computer Science, or a related field. • Solid background in optimization and/or
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has a wide range of applications in domains focused on monitoring and securing complex systems, including mobility, manufacturing, communication, economics, and environmental science. These domains
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; Participate in lab meetings and scientific discussions. Key Skills, Experience & Qualifications Education & Experience: Enrolled in a Master’s programme (M2) in biology, immunology, oncology, or a closely
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on Neural Information Processing System [20] Anish Agarwal, Munther Dahleh, and Tuhin Sarkar, A marketplace for data: An algorithmic solution, in Proceedings of the 2019 ACM Conference on Economics and
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Master’s degree in Health Engineering is recommended. ➢ Proficiency in English is recommended. The desired profile combines scientific rigor, the ability to work independently, and team spirit within a
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advances in machine learning and data-intensive approaches facilitate the search for better or even global minima via evolutionary computations or reinforcement learning. Objectives. The main scientific
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on stochastic Riemannian optimization algorithms, these methods still suffer from limitations in computational complexity. The post-doctoral fellow will build upon this preliminary work to investigate